BeyondTrust recognised as leader in secrets management
The independent analyst firm KuppingerCole evaluated a total of 16 vendors in the field of secrets management, highlighting BeyondTrust's capabilities, scalability, and focus on securing both human and non-human identities at enterprise scale.
The KuppingerCole report points to the increasing complexity organisations face as they adopt cloud services and pursue digital transformation initiatives. It notes the necessity for robust solutions to manage and secure cloud entitlements, emphasising that security in this evolving environment is paramount.
BeyondTrust's approach to secrets management extends beyond conventional vaulting solutions. The company's Password Safe solution is designed to deliver policy-based control and visibility over credentials such as application credentials, API keys, certificates, and other machine secrets.
The company has built native integrations with a range of popular platforms, including GitHub Actions, Kubernetes, Terraform, and Ansible. Such integrations are intended to streamline secret injection and lifecycle management, enabling developer-friendly workflows while maintaining security standards.
"BeyondTrust's solutions are particularly suited for enterprises demanding rigorous control over privileged and non-privileged accounts across complex environments. Given its strategic enhancements and comprehensive roadmap, BeyondTrust remains a strong choice for enterprises seeking advanced identity management solutions," Martin Kuppinger, Founder and Principal Analyst at KuppingerCole, commented on BeyondTrust's positioning in the report.
The report also acknowledges a shift in the sector as enterprises adopt AI-driven automation and manage more distributed workloads. This has led to a rise in so-called Agentic AI entities—software agents that operate with increasing autonomy, including initiating decisions, running processes, and interacting with data independently. According to the report, BeyondTrust is responding to these trends by developing capabilities that enforce identity lifecycle controls, ensure the principle of least privilege, and monitor for atypical behaviours across all identity types, whether human or non-human.
"Secrets management has to evolve with the reality of the modern threat landscape. That means securing not just traditional users and service accounts, but also non-human and autonomous AI identities. Our solutions are built to give security teams centralised visibility and control across every identity and environment, while empowering developers and operations teams to build and scale securely," Sam Elliott, Senior Vice President of Product Management at BeyondTrust, said, outlining the company's approach to current industry challenges.
BeyondTrust's secrets management offerings are part of the BeyondTrust Pathfinder Platform. The platform's scope includes Privileged Access Management, Identity Threat Detection and Response, Cloud Identity Management, Cloud Infrastructure Entitlement Management, and a recently released Identity Security Risk Assessment. This free assessment is designed to help organisations uncover hidden Risks to Privilege within their identity infrastructure, making vulnerabilities visible and offering practical recommendations for remediation.
The KuppingerCole Leadership Compass for Enterprise Secrets Management evaluates vendors' approaches to managing and protecting secrets, considering factors such as scalability, integrations, developer experience, and strategic vision in the context of current and emerging identity security challenges.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
18-07-2025
- Techday NZ
DuploCloud AI Suite launches on AWS Marketplace to boost DevOps
DuploCloud has announced the availability of its AI Suite through the new AI Agents and Tools category in the AWS Marketplace. The launch enables AWS customers to discover, purchase, and deploy DuploCloud's Agentic Help Desk for DevOps, providing tools designed to accelerate the development and deployment of AI agents and workflow automation within AWS environments. Marketplace expansion The AI Agents and Tools category in AWS Marketplace functions as a unified catalogue for a variety of artificial intelligence solutions from AWS Partners. DuploCloud's inclusion in this catalogue means customers can streamline their procurement events, accessing AI solutions via their existing AWS accounts and infrastructure. According to DuploCloud, the AI Suite is designed to help organisations minimise manual DevOps tasks and automate cloud operations. The suite includes built-in security protocols to simplify DevOps management and scale cloud-based initiatives, offering customers the ability to focus resources on core software development rather than operational overheads. Agentic Help Desk and AI Studio AI Suite introduces several key components for customers. At the centre is the AI Help Desk, which leverages large language models (LLMs) alongside live infrastructure data. This tool converts user requests into executable actions, facilitating human approval and teamwork as part of agentic DevOps workflows. The suite also features an AI Studio that supports the creation and deployment of agents within containerised Kubernetes environments. These tools together allow users to automate even highly complex workflows based on written prompts. The platform executes these tasks securely, not merely suggesting actions, but taking steps towards their completion whilst retaining oversight and approval workflows for teams managing critical infrastructure. Streamlining procurement Participation in the AWS Marketplace's new AI category enables organisations to accelerate their procurement and deployment of AI technologies. By leveraging their AWS accounts, customers are able to maintain central oversight of software licenses, billing, and user permissions, reducing delays previously caused by extended vendor negotiations and multi-party evaluations for technology adoption. Venkat Thiruvengadam, Chief Executive Officer at DuploCloud, highlighted the company's aims for the partnership, stating: "We're excited to offer AI Suite in the new AWS Marketplace AI Agents and Tools Category. AWS Marketplace allows us to provide customers with a streamlined way to access our Agentic Help Desk for DevOps, helping them elevate DevOps from writing scripts to building agentic, cross-system workflows." Focus on automation and security The company describes its AI Suite as capable of supporting both human oversight and end-to-end automation, integrating compliance and security controls throughout its operations. It aims to empower teams to operate cloud infrastructure efficiently without the necessity of traditional Infrastructure-as-Code expertise. As the AI marketplace grows, automation and collaboration features are positioned as essential for enterprises seeking rapid development and compliance within cloud environments. Customers in the AWS ecosystem now have access to DuploCloud's tools without navigating new procurement processes or vendor relationships. By centralising AI DevOps workflow capabilities in the AWS Marketplace, organisations can adopt self-service models underpinned by automation, while maintaining existing security and governance standards. DuploCloud positions its offering for both startup and enterprise customers looking to launch products faster and scale DevOps practices without significantly increasing personnel or operational complexity. Follow us on: Share on:
Techday NZ
16-07-2025
- Techday NZ
Financial sector ramps up GenAI use but skills & risks remain
New research from Nutanix has revealed that financial services organisations are broadly adopting generative AI (GenAI), with implementations extending well beyond chatbot applications into areas such as fraud detection, cybersecurity, and customer experience. The findings are based on the company's seventh annual global Financial Services Enterprise Cloud Index (ECI) survey, which assessed enterprise cloud adoption, containerisation, and GenAI trends among IT and DevOps decision-makers across the sector. Almost every respondent reported current use of GenAI, including for customer support and content development. Widespread adoption and expanding use cases While initial industry enthusiasm for GenAI focused on front-line tools such as chatbots, the research highlights that organisations are increasingly applying it to core operations such as automation, fraud detection, and enhancing client engagement. Nutanix noted that solutions are being used to automate workflows, generate content, and deliver customer support at scale. However, the rapid uptake of these technologies is exposing several industry-wide challenges. Most respondents expressed concerns about their readiness to operate GenAI applications securely and at scale, with particular anxiety about data privacy and security risks. "Financial services organisations are turning to containers and hybrid cloud not just as technology upgrades, but as strategic enablers of customer value," said Lee Caswell, SVP of Product and Solutions Marketing at Nutanix. "This year's ECI report highlights how these technologies are delivering measurable ROI by powering GenAI applications that enhance fraud detection, strengthen cybersecurity, and elevate customer engagement. For financial institutions, containers and hybrid cloud have become essential tools to drive innovation, agility, and trust in a rapidly evolving digital landscape. "But AI and how organisations want to use it is also changing very rapidly. While GenAI remains a part of their activities, beyond the findings in the report, our customers are telling us they have moved to adopt agentic AI and are looking to harness its potential across their organisations and in how they interact with their customers." Infrastructure and skills lag behind The majority of survey respondents admitted that the foundational requirements to scale GenAI are not yet fully in place. In total, 97% said their organisations need to do more to secure their GenAI models and applications, and 92% agreed their infrastructure must be modernised to support cloud-native applications and containers. Containerisation and tools such as Kubernetes are already widely deployed, especially for GenAI workloads. Nevertheless, organisations continue to wrestle with issues such as application portability and the persistence of data silos across their operations. Talent shortages hinder scaling A further significant barrier for the sector is the ongoing shortage of skilled IT personnel capable of deploying GenAI from development into production environments. Nearly all respondents (98%) cited difficulty in scaling up due to insufficient expertise and integration challenges, prompting 62% to say they are actively hiring for GenAI-related roles. Many organisations highlighted the urgent need for training and upskilling existing staff. Mixed outlook for returns While the long-term expectations for GenAI remain positive, the immediate financial outlook is less certain. Just under 40% of those surveyed anticipated possible GenAI-related losses over the next year, while 58% expect to see returns on investment within one to three years. This highlights that many organisations see the value of GenAI as a longer-term play but are seeking more reliable ways to track and measure its impact. Security and compliance front of mind With increasing reliance on data-driven systems, security and compliance are rising priorities across the sector. The majority of respondents - 96% - said GenAI is already reshaping how they set data security and privacy policies. Furthermore, 90% raised concerns about security throughout the IT vendor ecosystem, pointing to the growing complexity of safeguarding data and applications in cloud environments. The ECI study was conducted by UK-based researcher Vanson Bourne in autumn 2024, polling 1,500 IT and platform engineering leaders from a range of firm sizes and regions globally, including North and South America, EMEA, and Asia-Pacific-Japan.
Scoop
16-07-2025
- Scoop
Nutanix Study Finds Financial Services Fast-Tracking GenAI Adoption—but Long-Term Gains Hinge On Infrastructure & Talent
Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Financial Services Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that nearly all the financial services organisations surveyed are currently leveraging GenAI applications or workloads today, with a focus on real-life applications gravitating towards customer support and content development. Despite widespread GenAI adoption, financial services organisations are struggling to keep pace. Most cite a skills gap needed to manage GenAI with existing infrastructure. Moreover, 97% of respondents admit they could do more to secure their GenAI models and applications. 'Financial services organisations are turning to containers and hybrid cloud not just as technology upgrades, but as strategic enablers of customer value,' said Lee Caswell, SVP of Product and Solutions Marketing at Nutanix. 'This year's ECI report highlights how these technologies are delivering measurable ROI by powering GenAI applications that enhance fraud detection, strengthen cybersecurity, and elevate customer engagement. For financial institutions, containers and hybrid cloud have become essential tools to drive innovation, agility, and trust in a rapidly evolving digital landscape. 'But AI and how organisations want to use it is also changing very rapidly. While GenAI remains a part of their activities, beyond the findings in the report, our customers are telling us they have moved to adopt agentic AI and are looking to harness its potential across their organisations and in how they interact with their customers.' The report surveyed financial services leaders on GenAI adoption, Kubernetes, and container use, and where they're running mission-critical applications today—and where they plan to run them next. Key findings include: GenAI Adoption Is Widespread but Not Without Risk: Nearly all industry respondents report using some form of GenAI today, with current use cases focused on customer support, content generation, and automation. However, data privacy and security stand out as the top concerns, with 97% agreeing their organisations must do more to secure GenAI models and applications. Infrastructure Modernisation Is Needed for GenAI Success: 92% of respondents say their current infrastructure requires improvement to fully support cloud native applications and containers. Although containerisation and Kubernetes are already in use, particularly for GenAI workloads, application portability and data silos persist as major hurdles. IT Talent Shortage Could Slow Momentum: Nearly all respondents (98%) face challenges scaling GenAI from development to production, citing lack of skilled personnel and integration issues. While 62% of respondents are actively hiring for GenAI expertise, training and upskilling remain critical priorities. Return on Investment (ROI) is a Priority but It's a Long Game: 39% of respondents anticipate potential GenAI-related losses in the next 12 months, while 58% expect gains within one to three years. This suggests that financial services leaders are embracing a longer-term view of GenAI success but also underscores the need for better tools to measure GenAI ROI. Security and Compliance Will Continue to be Important: The majority (96%) of respondents say GenAI is reshaping their data security and privacy priorities. Additionally, 90% express concern about data security in the broader IT vendor ecosystem, further highlighting the complexity of securing AI deployments. For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerisation trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region. To learn more about the report and findings, please download the full Financial Services Nutanix Enterprise Cloud Index, here and read the blog here. About Nutanix Nutanix is a global leader in cloud software, offering organisations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at or follow us on social media @nutanix.
